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LabelboxMercorProdigyRoboflowNo subject matter listed
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VideoI have over six years of experience in data science and AI, with a strong focus on building and optimizing machine learning and NLP solutions. My background includes designing end-to-end data pipelines, developing and deploying models for natural language processing, computer vision, and data analytics, and ensuring high-quality training data through robust preprocessing, validation, and annotation strategies. I am proficient in Python, PyTorch, TensorFlow, and cloud platforms like AWS and Azure, and have hands-on experience with tools such as NLTK, SpaCy, Hugging Face, and OpenCV. My projects have ranged from reviewer recommendation systems using BERT and NER to multi-agent AI frameworks for medical appointment booking, where data integrity and accurate labeling were critical. I am passionate about leveraging my expertise to deliver reliable, scalable AI solutions powered by high-quality, well-annotated data.
Labelled brand logos on un stable platforms like player jersey, helmet, and surfaces from live video footage for fine tuning vision models
As a Sr. Associate Technology - AI/ML/Data Science at Synechron, I curated diverse datasets for financial NLP tasks and defined strict annotation guidelines to minimize labeler ambiguity. I designed data ingestion workflows for multi-agent systems, ensuring high-quality ground truth for financial decision models. Automated data validation checks were implemented within Airflow pipelines to detect drift and schema anomalies before labeling. • Led definition of annotation schemas for NLP classification of financial data • Implemented workflow automation to ensure label quality and consistency • Minimized ambiguity via detailed labeling policies and continuous feedback • Oversaw end-to-end curation, validation, and preparation of training datasets
As a Data Scientist at 3K Technologies Pvt. Ltd., I oversaw the annotation of large-scale corpora for entity extraction and summarization in specialized domains. I developed semi-automated labeling pipelines using Large Language Models (LLMs) to pre-label text, reducing manual annotation time substantially. I collaborated with subject matter experts to refine the taxonomy and ontology for medical and business datasets. • Directed team annotation projects for high-volume NER and classification tasks • Built and optimized pre-labeling pipelines leveraging LLM technology • Addressed class imbalance with synthetic data generation strategies • Ensured data quality through expert review and iterative label refinement
At Trendzlink Technologies Pvt. Ltd., I managed end-to-end image annotation workflows for object detection projects using Roboflow. Using advanced augmentation techniques, I expanded training datasets and improved model generalization. My work on quality assurance and correction of bounding box alignments and segmentation masks led to substantial model accuracy gains. • Coordinated large-scale image labeling campaigns for object detection • Applied augmentation (rotation, occlusion, noise) for data enrichment • Performed hands-on QA, correcting annotation errors and inconsistencies • Directly contributed to model improvement through high-quality data labeling
Bachelor of Technology, Information Technology
Senior Associate Technology, AI/ML/Data Science
Data Scientist
